Micro and macro policies in the Keynes + Schumpeter evolutionary models

This paper presents the family of the Keynes+Schumpeter (K+S, cf. Dosi et al, 2010, 2013, 2014) evolutionary agent-based models, which study the effects of a rich ensemble of innovation, industrial dynamics and macroeconomic policies on the long-term growth and short-run fluctuations of the economy. The K+S models embed the Schumpeterian growth paradigm into a complex system of imperfect coordination among heterogeneous interacting firms and banks, where Keynesian (demand-related) and Minskian (credit cycle) elements feed back into the meso and macro dynamics. The model is able to endogenously generate long-run growth together with business cycles and major crises. Moreover, it reproduces a long list of macroeconomic and microeconomic stylized facts. Here, we discuss a series of experiments on the role of policies affecting i) innovation, ii) industry dynamics, iii) demand and iv) income distribution. Our results suggest the presence of strong complementarities between Schumpeterian (technological) and Keynesian (demand-related) policies in ensuring that the economic system follows a path of sustained stable growth and employmen

The Short-and Long-Run Damages of Fiscal Austerity: Keynes beyond Schumpeter

In this work we analyze the short- and long-run effects of fiscal austerity policies, employing an agent-based model populated by heterogeneous, boundedly-rational firms and banks. The model, in line with the family of “Keynes+Schumpeter” formalism, is able to account for a wide array of macro and micro empirical regularities. In particular, it endogenously generates self-sustained growth patterns together with persistent economic fluctuations punctuated by deep downturns. On the policy side, we find that austerity policies considerably harm the economy, by increasing output volatility, unemployment, and the incidence of crises. In addition, they depress innovation and the diffusion of new technologies, thus reducing long-run productivity and GDP growth. Finally, we show that “discipline-guided” fiscal rules are self-defeating, as they do not stabilize public finances, but, on the contrary, they disrupt them

Micro and macro policies in the Keynes +Schumpeter evolutionary models

Abstract This paper presents the family of the Keynes+Schumpeter (K+S, cf. Dosi et al, J Econ Dyn Control 34 1748–1767 2010, J Econ Dyn Control 37 1598–1625 2013, J Econ Dyn Control 52 166–189 2015) evolutionary agent-based models, which study the effects of a rich ensemble of innovation, industrial dynamics and macroeconomic policies on the long-term growth and short-run fluctuations of the economy. The K+S models embed the Schumpeterian growth paradigm into a complex system of imperfect coordination among heterogeneous interacting firms and banks, where Keynesian (demand-related) and Minskian (credit cycle) elements feed back into the meso and macro dynamics. The model is able to endogenously generate long-run growth together with business cycles and major crises. Moreover, it reproduces a long list of macroeconomic and microeconomic stylized facts. Here, we discuss a series of experiments on the role of policies affecting i) innovation, ii) industry dynamics, iii) demand and iv) income distribution. Our results suggest the presence of strong complementarities between Schumpeterian (technological

Production Structure and Economic Fluctuations

We aim at contributing to the debate on the mechanisms and properties of economic fluctuations. We consider a crucial aspect among many thought to influence this ubiquitous and extremely relevant phenomenon: the interaction structure that characterises the organisation of production, that is, the production relation among sectors of a system. We build — and simulate — a very simple model representing an input–output system where sectors/firms adapt production and desired levels of stocks. Their output serves both an exogenous final demand and the intermediate demand solicited by the other sectors of the system. Series of simulation runs allow to derive relevant and non–obvious conclusions concerning the levels and, more importantly, the volatility of economic activity, as an outcome of the same, inherent, economic structure. We claim that the results that we obtain through the highly abstract representation we use, provide useful intuitions on the working of economic cycles, to be later integrated by further studies. As a by–product of our analysis, we also suggest that the methodology we adopt can provide valuable insights by allowing a detailed analysis of the time path generated in the artificial systems, and therefore assessing with precisions the same mechanisms that affect real– world systems. The natural following step, left for further research, is to investigate how those mechanisms are empirically generated.Production structure, micro- and macro-volatility, simulation models